2017-09-27T01:20:21Z
http://cmde.tabrizu.ac.ir/?_action=export&rf=summon&issue=664
Computational Methods for Differential Equations
Comput. Methods Differ. Equ.
2345-3982
2345-3982
2015
3
3
Solving high-order partial differential equations in unbounded domains by means of double exponential second kind Chebyshev approximation
Mohamed
Abd Elsalam
Mohamed
Ramadan
Kamal
Raslsn
Talaat
El Danaf
In this paper, a collocation method for solving high-order linear partial differential equations (PDEs) with variable coefficients under more general form of conditions is presented. This method is based on the approximation of the truncated double exponential second kind Chebyshev (ESC) series. The definition of the partial derivative is presented and derived as new operational matrices of derivatives. All principles and properties of the ESC functions are derived and introduced by us as a new basis defined in the whole range. The method transforms the PDEs and conditions into block matrix equations, which correspond to system of linear algebraic equations with unknown ESC coefficients, by using ESC collocation points. Combining these matrix equations and then solving the system yield the ESC coefficients of the solution function. Numerical examples are included to test the validity and applicability of the method.
Exponential second kind Chebyshev functions
High-order partial differential equations
Collocation method
2015
07
01
147
162
http://cmde.tabrizu.ac.ir/article_4716_865a972e969ce0256b6db9b8006f6073.pdf
Computational Methods for Differential Equations
Comput. Methods Differ. Equ.
2345-3982
2345-3982
2015
3
3
ITERATIVE SCHEME TO A COUPLED SYSTEM OF HIGHLY NONLINEAR FRACTIONAL ORDER DIFFERENTIAL EQUATIONS
Kamal
Shah
Rahmat
Khan
In this article, we investigate sufficient conditions for existence of maximal and minimalsolutions to a coupled system of highly nonlinear differential equations of fractional order with mixedtype boundary conditions. To achieve this goal, we apply monotone iterative technique togetherwith the method of upper and lower solutions. Also an error estimation is given to check theaccuracy of the method. We provide an example to illustrate our main results.
Coupled system
Mixed type boundary conditions, Upper and lower solutions, Monotone iterative technique, Existence and uniqueness results
2015
07
01
163
176
http://cmde.tabrizu.ac.ir/article_4771_2caa42796fa9abd0485bb9672a8dd0b4.pdf
Computational Methods for Differential Equations
Comput. Methods Differ. Equ.
2345-3982
2345-3982
2015
3
3
Solution of Bang-Bang Optimal Control Problems by Using Bezier Polynomials
Ayatollah
Yari
Mirkamal
Mirnia
Aghileh
Heydari
In this paper, a new numerical method is presented for solving the optimal control problems of Bang-Bang type with free or fixed terminal time. The method is based on Bezier polynomials which are presented in any interval as $[t_0,t_f]$. The problems are reduced to a constrained problems which can be solved by using Lagrangian method. The constraints of these problems are terminal state and conditions. Illustrative examples are included to demonstrate the validity and applicability of the method.
Optimal control
Bang-Bang control
Minimum-time
Bezier polynomials family
Best approximation
2015
07
01
177
191
http://cmde.tabrizu.ac.ir/article_4770_a00ee50be84f54611ea5e5335b492e2d.pdf
Computational Methods for Differential Equations
Comput. Methods Differ. Equ.
2345-3982
2345-3982
2015
3
3
Explicit exact solutions for variable coefficient Broer-Kaup equations
Manjit
Singh
R.K.
Gupta
Based on symbolic manipulation program Maple and using Riccati equation mapping method several explicit exact solutions including kink, soliton-like, periodic and rational solutions are obtained for (2+1)-dimensional variable coefficient Broer-Kaup system in quite a straightforward manner. The known solutions of Riccati equation are used to construct new solutions for variable coefficient Broer-Kaup system.
Broer-Kaup equations
Riccati equation mapping method
Explicit exact solutions
2015
07
01
192
199
http://cmde.tabrizu.ac.ir/article_4774_835457e718ceb27933e9085f35bb7eb9.pdf
Computational Methods for Differential Equations
Comput. Methods Differ. Equ.
2345-3982
2345-3982
2015
3
3
An application of differential transform method for solving nonlinear optimal control problems
Alireza
Nazemi
In this paper, we present a capable algorithm for solving a class of nonlinear optimal control problems (OCP's). The approach rest mainly on the differential transform method (DTM) which is one of the approximate methods. The DTM is a powerful and efficient technique for finding solutions of nonlinear equations without the need of a linearization process. Utilizing this approach, the optimal control and the corresponding trajectory of the OCP's are found in the form of rapidly convergent series with easily computed components. Numerical results are also given for several test examples to demonstrate the applicability and the efficiency of the method.
Optimal Control Problems
Differential transform method
Hamiltonian system
2015
07
01
200
217
http://cmde.tabrizu.ac.ir/article_4972_22d60c5610c1acd953ee761bc55ca38e.pdf
Computational Methods for Differential Equations
Comput. Methods Differ. Equ.
2345-3982
2345-3982
2015
3
3
Non-polynomial Spline Method for Solving Coupled Burgers Equations
Khalid
K. Ali
Kamal
Raslan
Talaat
El Danaf
In this paper, non-polynomial spline method for solving Coupled Burgers Equations are presented. We take a new spline function. The stability analysis using Von-Neumann technique shows the scheme is unconditionally stable. To test accuracy the error norms 2L, L are computed and give two examples to illustrate the sufficiency of the method for solving such nonlinear partial differential equations. These results show that the technique introduced here is accurate and easy to apply.
Non-polynomial
spline method
Coupled
Burger’s
Equations
2015
07
01
218
230
http://cmde.tabrizu.ac.ir/article_4974_e3d373c5ccd58d93abdaae09981caee2.pdf